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  • SUMMARY

  • TISSUE

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  • AHSG
CANCER LIVER CANCER Show tissue menu
BREAST CANCER CARCINOID CERVICAL CANCER COLORECTAL CANCER ENDOMETRIAL CANCER GLIOMA HEAD AND NECK CANCER LIVER CANCER LUNG CANCER LYMPHOMA
MELANOMA OVARIAN CANCER PANCREATIC CANCER PROSTATE CANCER RENAL CANCER SKIN CANCER STOMACH CANCER TESTIS CANCER THYROID CANCER UROTHELIAL CANCER
LIHC TCGA LIHC VALIDATION PROTEIN LIHC CPTAC PROTEIN EXPRESSION
ANTIBODIES
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Dictionary
Liver cancer
Human cancer
Liver hepatocellular carcinoma
LIVER HEPATOCELLULAR CARCINOMA (TCGA) - Interactive survival scatter ploti

The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.

The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".

Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.

Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.

& Survival analysisi

Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.

AHSG is not prognostic in Liver Hepatocellular Carcinoma (TCGA)


Stage:


Survival analysis
Current cut offi

Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.

:
Best expression cut offi

Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .

When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.

: 1559.39
Median expressioni

Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.

: N/A
Median follow up timei

Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.

: N/A
P scorei

Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.

N/A
5-year survival highi

5-year survival for patients with higher expression than the expression cutoff.

For melanoma and glioma, 3-year survival is shown.

N/A
5-year survival lowi

5-year survival for patients with lower expression than the expression cutoff.

For melanoma and glioma, 3-year survival is shown.

N/A
TCGA RNA samplesi

RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .

Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.

Average pTPM 2368.8
Number of samples 362
Samples
Sample Description pTPM
TCGA-XR-A8TE-01A 16 years, male, white, stage:Stage IIIA, alive, 925 days 15193.7
TCGA-CC-A9FW-01A 68 years, male, asian, stage:Stage IIIA, alive, 248 days 13825.5
TCGA-DD-AACW-01A 43 years, male, asian, stage:Stage I, alive, 1424 days 13581.1
TCGA-DD-A1EJ-01A 71 years, female, white, stage:Stage IIIC, dead, 1005 days 12733.4
TCGA-EP-A2KB-01A 46 years, female, white, stage:Stage I, dead, 596 days 11363.3
TCGA-CC-A7IE-01A 57 years, male, asian, stage:Stage IIIA, dead, 217 days 10987.9
TCGA-DD-A39W-01A 29 years, female, white, stage:Stage III, dead, 827 days 10542.5
TCGA-DD-A1EF-01A 57 years, female, white, stage:Stage I, dead, 394 days 9681.6
TCGA-ED-A8O5-01A 59 years, female, asian, stage:Stage IIIA, alive, 406 days 9224.5
TCGA-DD-A3A9-01A 64 years, female, white, stage:Stage IVB, dead, 931 days 8658.9
TCGA-DD-AAD0-01A 73 years, female, asian, stage:Stage I, alive, 137 days 7587.3
TCGA-2Y-A9H7-01A 81 years, female, white, stage:Stage I, alive, 1168 days 7247.4
TCGA-DD-AAE1-01A 52 years, male, asian, stage:Stage I, alive, 552 days 7129.6
TCGA-CC-A5UC-01A 63 years, male, asian, stage:Stage IIIA, dead, 347 days 7057.8
TCGA-DD-AAVS-01A 56 years, male, asian, stage:Stage I, alive, 1823 days 6702.0
TCGA-DD-AADD-01A 51 years, male, asian, stage:Stage I, alive, 1231 days 6263.3
TCGA-DD-A4NN-01A 56 years, female, white, stage:Stage I, dead, 899 days 6228.4
TCGA-ED-A8O6-01A 50 years, female, asian, stage:Stage IIIA, dead, 56 days 6063.1
TCGA-DD-A4NF-01A 72 years, male, white, stage:Stage I, alive, 942 days 6048.0
TCGA-G3-AAV1-01A 51 years, male, asian, stage:Stage IIIC, dead, 359 days 6034.6
TCGA-2Y-A9H6-01A 68 years, female, white, stage:Stage I, alive, 357 days 5848.6
TCGA-FV-A23B-01A 70 years, female, white, stage:Stage II, dead, 1852 days 5616.5
TCGA-DD-A11B-01A 73 years, male, white, stage:Stage I, dead, 14 days 5505.4
TCGA-DD-AAVZ-01A 38 years, male, asian, stage:Stage I, alive, 1900 days 5380.8
TCGA-BC-A69H-01A 64 years, male, white, stage:Stage II, alive, 444 days 5344.0
TCGA-ED-A66X-01A 35 years, male, asian, stage:Stage IIIA, alive, 406 days 5328.4
TCGA-DD-AACL-01A 66 years, female, asian, stage:Stage I, dead, 107 days 5316.2
TCGA-G3-AAV2-01A 50 years, male, white, stage:Stage I, alive, 372 days 5303.3
TCGA-BC-A10U-01A 69 years, male, white, stage:'--, dead, 837 days 5288.2
TCGA-DD-AACA-01A 65 years, male, asian, stage:Stage I, alive, 2301 days 5282.2
TCGA-DD-AAW0-01A 54 years, male, asian, stage:Stage I, alive, 2015 days 5160.8
TCGA-DD-AACU-01A 59 years, male, asian, stage:Stage I, alive, 1567 days 5149.4
TCGA-2Y-A9GU-01A 55 years, female, white, stage:Stage I, alive, 1939 days 5012.5
TCGA-ES-A2HS-01A 80 years, male, white, stage:Stage I, dead, 688 days 4946.7
TCGA-DD-AACV-01A 53 years, male, asian, stage:Stage I, alive, 1531 days 4906.0
TCGA-RC-A7SK-01A 59 years, male, asian, stage:Stage I, alive, 472 days 4864.8
TCGA-ED-A66Y-01A 51 years, female, asian, stage:Stage IIIA, dead, 296 days 4714.5
TCGA-DD-A4ND-01A 56 years, female, white, stage:Stage I, alive, 2746 days 4634.9
TCGA-DD-AACP-01A 64 years, male, asian, stage:Stage I, alive, 415 days 4605.9
TCGA-5C-A9VG-01A 58 years, male, white, stage:Stage II, alive, 328 days 4529.7
TCGA-MI-A75I-01A 61 years, male, black or african american, stage:'--, alive, 630 days 4510.3
TCGA-K7-A5RF-01A 64 years, male, white, stage:Stage I, alive, 631 days 4510.1
TCGA-DD-AADB-01A 51 years, male, asian, stage:Stage I, alive, 1242 days 4454.7
TCGA-ZP-A9D0-01A 67 years, female, black or african american, stage:'--, alive, 1091 days 4424.8
TCGA-DD-AAE3-01A 50 years, male, asian, stage:Stage I, alive, 566 days 4403.6
TCGA-2Y-A9H4-01A 68 years, male, black or african american, stage:Stage I, alive, 1452 days 4387.1
TCGA-DD-AADO-01A 55 years, male, asian, stage:Stage I, alive, 453 days 4370.8
TCGA-G3-A5SI-01A 44 years, male, asian, stage:Stage II, dead, 768 days 4331.8
TCGA-G3-AAV4-01A 83 years, female, white, stage:Stage I, dead, 27 days 4313.8
TCGA-DD-A73E-01A 66 years, male, white, stage:Stage I, alive, 44 days 4283.2
TCGA-DD-AAEE-01A 55 years, male, asian, stage:Stage I, alive, 810 days 4269.2
TCGA-ED-A7XO-01A 29 years, male, asian, stage:Stage IIIA, alive, 427 days 4262.2
TCGA-ZS-A9CF-01A 64 years, male, white, stage:Stage II, alive, 2412 days 4209.4
TCGA-FV-A4ZQ-01A 52 years, male, white, stage:Stage I, alive, 12 days 4182.0
TCGA-ZP-A9CZ-01A 72 years, male, asian, stage:'--, alive, 706 days 4114.6
TCGA-DD-AACC-01A 61 years, male, asian, stage:Stage I, dead, 1685 days 4094.9
TCGA-DD-AAD1-01A 51 years, female, asian, stage:Stage I, alive, 564 days 4080.4
TCGA-DD-A73F-01A 77 years, female, white, stage:Stage I, alive, 1085 days 4070.7
TCGA-G3-AAV3-01A 58 years, female, white, stage:Stage II, alive, 412 days 4020.5
TCGA-DD-AADG-01A 70 years, male, asian, stage:Stage IIIA, alive, 1145 days 3993.3
TCGA-DD-A4NR-01A 85 years, female, white, stage:Stage I, dead, 9 days 3958.2
TCGA-2Y-A9H0-01A 49 years, male, white, stage:Stage IIIA, alive, 3675 days 3942.7
TCGA-DD-AADU-01A 60 years, male, asian, stage:Stage II, alive, 554 days 3901.8
TCGA-ED-A5KG-01A 60 years, female, asian, stage:Stage II, alive, 854 days 3871.3
TCGA-CC-5262-01A 67 years, male, asian, stage:Stage IIIC, dead, 103 days 3851.1
TCGA-UB-AA0V-01A 69 years, female, white, stage:Stage I, alive, 314 days 3818.2
TCGA-2Y-A9H3-01A 45 years, male, white, stage:Stage II, alive, 1516 days 3801.0
TCGA-ZP-A9CY-01A 66 years, female, white, stage:'--, alive, 782 days 3789.4
TCGA-DD-AADJ-01A 70 years, female, asian, stage:Stage I, alive, 1066 days 3779.0
TCGA-2Y-A9GY-01A 64 years, female, white, stage:Stage II, dead, 757 days 3739.3
TCGA-DD-AADL-01A 58 years, male, asian, stage:Stage I, alive, 636 days 3733.1
TCGA-DD-A1EI-01A 46 years, male, asian, stage:Stage I, alive, 183 days 3693.6
TCGA-T1-A6J8-01A 68 years, male, white, stage:'--, alive, 23 days 3681.7
TCGA-DD-AADS-01A 63 years, male, asian, stage:Stage I, alive, 474 days 3659.3
TCGA-DD-A1EH-01A 23 years, male, white, stage:Stage III, alive, 1495 days 3650.2
TCGA-G3-AAV6-01A 53 years, female, white, stage:Stage IIIA, dead, 65 days 3645.1
TCGA-DD-AACX-01A 66 years, male, asian, stage:Stage II, alive, 170 days 3579.6
TCGA-DD-A11C-01A 69 years, male, white, stage:Stage I, alive, 662 days 3499.9
TCGA-CC-A123-01A 24 years, female, asian, stage:Stage IIIA, alive, 219 days 3495.6
TCGA-DD-A3A8-01A 75 years, male, white, stage:Stage II, dead, 11 days 3493.0
TCGA-DD-AAD3-01A 43 years, male, asian, stage:Stage I, alive, 1295 days 3492.3
TCGA-CC-5258-01A 48 years, male, asian, stage:Stage II, dead, 129 days 3486.1
TCGA-XR-A8TF-01A 74 years, male, white, stage:Stage I, dead, 693 days 3479.0
TCGA-WX-AA46-01A 61 years, male, white, stage:Stage II, alive, 756 days 3473.5
TCGA-RC-A7SF-01A 66 years, male, asian, stage:Stage I, alive, 579 days 3455.0
TCGA-EP-A26S-01A 70 years, male, white, stage:Stage I, alive, 608 days 3435.9
TCGA-BC-A69I-01A 69 years, male, white, stage:Stage I, alive, 387 days 3414.3
TCGA-FV-A3R2-01A 75 years, male, white, stage:Stage I, dead, 194 days 3361.9
TCGA-DD-A73A-01A 71 years, male, white, stage:Stage I, alive, 728 days 3339.7
TCGA-DD-AAEK-01A 51 years, male, asian, stage:Stage II, alive, 1067 days 3321.7
TCGA-LG-A6GG-01A 79 years, female, white, stage:Stage II, alive, 387 days 3291.7
TCGA-DD-A39V-01A 77 years, male, white, stage:Stage II, dead, 643 days 3284.1
TCGA-3K-AAZ8-01A 65 years, male, black or african american, stage:Stage IIIB, alive, 396 days 3280.7
TCGA-DD-A4NI-01A 67 years, male, white, stage:Stage II, alive, 816 days 3262.6
TCGA-DD-AACK-01A 70 years, male, asian, stage:Stage I, alive, 9 days 3256.2
TCGA-DD-A3A5-01A 66 years, female, white, stage:Stage III, dead, 3125 days 3200.6
TCGA-RG-A7D4-01A 69 years, male, black or african american, stage:Stage II, alive, 1098 days 3172.5
TCGA-BC-A3KF-01A 66 years, female, white, stage:Stage I, alive, 8 days 3163.0
TCGA-BC-A10T-01A 76 years, male, white, stage:'--, dead, 837 days 3091.4
TCGA-DD-AACZ-01A 63 years, female, asian, stage:Stage I, dead, 171 days 3086.3
TCGA-DD-AAD6-01A 66 years, male, asian, stage:Stage IIIA, alive, 672 days 3072.4
TCGA-DD-AAW3-01A 69 years, male, asian, stage:Stage I, alive, 1633 days 3056.3
TCGA-DD-AAE6-01A 59 years, female, asian, stage:Stage I, alive, 141 days 3037.8
TCGA-DD-AAE4-01A 49 years, female, asian, stage:Stage I, alive, 608 days 2999.1
TCGA-2Y-A9H5-01A 59 years, female, white, stage:Stage I, dead, 555 days 2941.2
TCGA-DD-AAVP-01A 48 years, male, asian, stage:Stage I, alive, 2752 days 2879.2
TCGA-5R-AA1C-01A 57 years, male, white, stage:Stage II, alive, 520 days 2872.3
TCGA-CC-A5UE-01A 48 years, male, asian, stage:Stage IIIB, dead, 272 days 2871.2
TCGA-CC-A8HU-01A 39 years, female, asian, stage:Stage IIIA, dead, 344 days 2841.0
TCGA-MI-A75G-01A 63 years, male, white, stage:Stage II, alive, 698 days 2835.1
TCGA-BC-A217-01A 75 years, female, white, stage:Stage II, dead, 1397 days 2810.5
TCGA-BW-A5NO-01A 50 years, male, black or african american, stage:Stage IIIA, alive, 20 days 2775.5
TCGA-BC-A10X-01A 52 years, female, white, stage:Stage IIIA, dead, 770 days 2774.1
TCGA-DD-AADP-01A 45 years, male, asian, stage:Stage I, alive, 458 days 2741.3
TCGA-DD-AACB-01A 74 years, female, asian, stage:Stage I, alive, 2324 days 2737.9
TCGA-UB-A7MB-01A 24 years, male, white, stage:Stage II, alive, 601 days 2717.1
TCGA-2Y-A9GZ-01A 82 years, female, white, stage:Stage II, dead, 848 days 2707.2
TCGA-BC-A10Z-01A 62 years, female, white, stage:Stage I, dead, 34 days 2698.9
TCGA-FV-A3R3-01A 38 years, female, white, stage:Stage I, dead, 366 days 2691.1
TCGA-G3-AAV5-01A 67 years, male, white, stage:Stage II, alive, 354 days 2667.6
TCGA-DD-AADN-01A 59 years, male, asian, stage:Stage I, alive, 898 days 2636.5
TCGA-G3-A6UC-01A 65 years, male, white, stage:Stage IIIB, alive, 671 days 2605.2
TCGA-G3-A25U-01A 63 years, female, asian, stage:Stage I, alive, 1636 days 2559.3
TCGA-DD-A4NV-01A 61 years, male, white, stage:Stage IIIA, alive, 2398 days 2527.5
TCGA-DD-A1EL-01A 23 years, male, black or african american, stage:Stage II, dead, 415 days 2522.1
TCGA-ED-A4XI-01A 58 years, male, asian, stage:Stage II, alive, 819 days 2514.8
TCGA-G3-A3CG-01A 80 years, male, white, stage:Stage I, alive, 673 days 2513.0
TCGA-DD-A116-01A 68 years, male, asian, stage:Stage IIIA, dead, 1622 days 2501.4
TCGA-DD-AACG-01A 52 years, male, asian, stage:Stage II, dead, 469 days 2481.5
TCGA-GJ-A6C0-01A 75 years, female, white, stage:Stage II, dead, 31 days 2476.1
TCGA-DD-AAE7-01A 72 years, male, asian, stage:Stage I, alive, 644 days 2474.1
TCGA-CC-A7IH-01A 58 years, male, asian, stage:Stage IIIA, alive, 365 days 2474.0
TCGA-XR-A8TC-01A 43 years, female, white, stage:Stage I, alive, 1339 days 2445.8
TCGA-G3-AAV0-01A 58 years, male, asian, stage:Stage I, alive, 476 days 2434.8
TCGA-DD-A4NS-01A 61 years, female, white, stage:Stage I, dead, 2456 days 2410.1
TCGA-2Y-A9H9-01A 70 years, male, white, stage:Stage I, alive, 697 days 2402.7
TCGA-DD-AAVW-01A 35 years, male, asian, stage:Stage I, alive, 2317 days 2398.4
TCGA-2Y-A9H8-01A 85 years, female, white, stage:'--, dead, 633 days 2361.1
TCGA-DD-AACO-01A 40 years, male, asian, stage:Stage I, alive, 1876 days 2360.9
TCGA-CC-A7IK-01A 59 years, male, asian, stage:Stage IIIA, dead, 262 days 2358.0
TCGA-HP-A5N0-01A 90 years, female, stage:'--, dead, 752 days 2354.9
TCGA-UB-A7ME-01A 51 years, male, asian, stage:Stage I, alive, 486 days 2352.5
TCGA-BC-A10Y-01A 76 years, male, white, stage:'--, dead, 711 days 2346.2
TCGA-G3-AAUZ-01A 48 years, male, stage:Stage I, alive, 480 days 2340.2
TCGA-DD-AAE2-01A 51 years, male, asian, stage:Stage I, alive, 638 days 2309.1
TCGA-G3-A3CH-01A 53 years, male, asian, stage:Stage IIIA, alive, 780 days 2279.8
TCGA-BC-A5W4-01A 69 years, male, white, stage:Stage IIIA, dead, 547 days 2265.3
TCGA-DD-AAW2-01A 69 years, male, asian, stage:Stage I, alive, 1855 days 2245.5
TCGA-K7-A5RG-01A 66 years, male, black or african american, stage:Stage I, alive, 519 days 2208.8
TCGA-DD-AACS-01A 39 years, male, asian, stage:Stage I, alive, 1804 days 2208.3
TCGA-DD-AACF-01A 68 years, male, asian, stage:Stage I, dead, 365 days 2195.8
TCGA-ZS-A9CG-01A 55 years, male, white, stage:Stage II, alive, 341 days 2195.3
TCGA-G3-A5SK-01A 58 years, male, white, stage:Stage I, alive, 744 days 2190.6
TCGA-DD-A3A1-01A 65 years, male, stage:Stage IIIA, dead, 233 days 2186.5
TCGA-2Y-A9GT-01A 51 years, male, white, stage:Stage I, dead, 1624 days 2165.3
TCGA-G3-A7M5-01A 76 years, male, asian, stage:Stage I, alive, 447 days 2160.1
TCGA-MI-A75E-01A 61 years, male, white, stage:Stage IIIC, alive, 507 days 2156.5
TCGA-EP-A12J-01A 62 years, male, black or african american, stage:Stage I, alive, 570 days 2146.8
TCGA-DD-AADY-01A 55 years, female, asian, stage:Stage I, alive, 555 days 2124.4
TCGA-XR-A8TG-01A 58 years, male, white, stage:Stage I, alive, 898 days 2121.6
TCGA-K7-A6G5-01A 66 years, male, white, stage:Stage I, alive, 512 days 2108.6
TCGA-DD-A73C-01A 65 years, female, white, stage:Stage IIIA, alive, 701 days 2108.2
TCGA-ED-A627-01A 74 years, male, white, stage:Stage I, alive, 423 days 2108.2
TCGA-DD-A4NP-01A 32 years, male, white, stage:Stage I, alive, 3308 days 2107.4
TCGA-FV-A496-01A 84 years, female, white, stage:Stage I, alive, 10 days 2106.5
TCGA-DD-AADC-01A 53 years, male, asian, stage:Stage I, dead, 425 days 2084.6
TCGA-BC-A10S-01A 81 years, male, white, stage:'--, dead, 1423 days 2070.5
TCGA-GJ-A9DB-01A 68 years, male, white, stage:Stage I, dead, 67 days 2069.1
TCGA-DD-AAED-01A 51 years, male, asian, stage:Stage I, alive, 763 days 2061.4
TCGA-DD-A39Z-01A 43 years, female, stage:Stage II, dead, 601 days 2061.2
TCGA-DD-AADA-01A 66 years, female, asian, stage:Stage I, alive, 1233 days 2044.1
TCGA-MI-A75H-01A 77 years, male, white, stage:'--, alive, 747 days 2036.2
TCGA-DD-A1EB-01A 72 years, female, stage:Stage I, alive, 2017 days 2024.7
TCGA-KR-A7K8-01A 57 years, male, stage:Stage I, alive, 906 days 1963.2
TCGA-DD-A73B-01A 72 years, female, white, stage:Stage I, dead, 283 days 1960.7
TCGA-4R-AA8I-01A 66 years, male, white, stage:Stage II, dead, 262 days 1923.4
TCGA-ZP-A9D4-01A 64 years, female, white, stage:'--, alive, 395 days 1911.6
TCGA-DD-A1EA-01A 68 years, male, asian, stage:Stage II, alive, 2415 days 1880.3
TCGA-DD-A4NL-01A 46 years, male, white, stage:Stage I, alive, 1711 days 1876.0
TCGA-DD-AAW1-01A 55 years, male, asian, stage:Stage IIIA, alive, 1989 days 1868.2
TCGA-ED-A7XP-01A 53 years, female, asian, stage:Stage II, alive, 400 days 1840.5
TCGA-DD-A4NO-01A 65 years, male, white, stage:Stage I, alive, 2245 days 1835.0
TCGA-DD-AAD2-01A 66 years, male, asian, stage:Stage I, alive, 658 days 1834.2
TCGA-2Y-A9HB-01A 66 years, male, stage:Stage I, alive, 260 days 1821.2
TCGA-MI-A75C-01A 64 years, male, white, stage:Stage I, alive, 291 days 1793.4
TCGA-DD-AAVR-01A 44 years, male, asian, stage:Stage I, alive, 2513 days 1783.4
TCGA-DD-A4NE-01A 75 years, female, white, stage:Stage IIIA, dead, 660 days 1779.9
TCGA-WX-AA44-01A 64 years, female, white, stage:Stage I, alive, 615 days 1775.1
TCGA-FV-A3I1-01A 81 years, female, white, stage:Stage II, dead, 247 days 1771.6
TCGA-DD-A3A2-01A 76 years, female, white, stage:Stage I, dead, 2131 days 1771.3
TCGA-FV-A2QQ-01A 80 years, male, white, stage:Stage I, alive, 729 days 1751.9
TCGA-BC-A110-01A 51 years, female, black or african american, stage:'--, dead, 2116 days 1704.1
TCGA-UB-A7MF-01A 56 years, male, white, stage:Stage IIIA, dead, 214 days 1693.7
TCGA-DD-AAVY-01A 56 years, male, asian, stage:Stage IIIA, alive, 1970 days 1674.9
TCGA-DD-A4NK-01A 80 years, female, white, stage:Stage IIIA, dead, 1210 days 1666.3
TCGA-DD-AAEH-01A 73 years, male, asian, stage:Stage I, alive, 784 days 1643.3
TCGA-G3-A7M8-01A 31 years, male, asian, stage:Stage I, alive, 430 days 1628.6
TCGA-DD-AADR-01A 58 years, male, asian, stage:Stage I, alive, 2028 days 1624.5
TCGA-DD-A73G-01A 73 years, female, white, stage:Stage I, alive, 3478 days 1607.4
TCGA-DD-A11D-01A 57 years, female, white, stage:Stage I, dead, 1560 days 1607.4
TCGA-G3-A25Z-01A 58 years, male, asian, stage:Stage I, alive, 655 days 1606.4
TCGA-DD-AAEB-01A 60 years, male, asian, stage:Stage I, alive, 478 days 1599.5
TCGA-DD-AAVU-01A 46 years, male, asian, stage:Stage II, alive, 2202 days 1574.7
TCGA-2Y-A9GX-01A 68 years, male, white, stage:Stage I, alive, 2442 days 1567.7
TCGA-DD-A1ED-01A 68 years, male, white, stage:Stage I, alive, 2301 days 1560.5
TCGA-ED-A7PZ-01A 61 years, male, asian, stage:Stage II, alive, 6 days 1559.9
TCGA-DD-A39Y-01A 67 years, male, asian, stage:Stage I, dead, 171 days 1558.9
TCGA-ED-A7PY-01A 20 years, female, asian, stage:Stage II, alive, 390 days 1551.5
TCGA-G3-A25S-01A 64 years, male, white, stage:Stage I, dead, 416 days 1548.6
TCGA-DD-AAD8-01A 73 years, female, asian, stage:Stage I, alive, 1219 days 1547.5
TCGA-FV-A495-01A 51 years, female, white, stage:Stage II, alive, 1 days 1533.7
TCGA-KR-A7K0-01A 65 years, male, white, stage:Stage I, dead, 65 days 1533.0
TCGA-UB-A7MD-01A 67 years, male, black or african american, stage:Stage I, dead, 52 days 1518.3
TCGA-2Y-A9HA-01A 70 years, male, white, stage:Stage II, dead, 36 days 1514.8
TCGA-UB-A7MC-01A 59 years, male, white, stage:Stage IIIA, alive, 500 days 1504.8
TCGA-2Y-A9GS-01A 58 years, male, white, stage:'--, dead, 724 days 1493.9
TCGA-MR-A520-01A 58 years, male, white, stage:Stage I, alive, 229 days 1489.6
TCGA-UB-AA0U-01A 60 years, male, white, stage:Stage II, alive, 327 days 1460.5
TCGA-DD-AAEI-01A 72 years, male, asian, stage:Stage I, alive, 1531 days 1456.5
TCGA-DD-A3A4-01A 37 years, male, white, stage:Stage IIIA, dead, 612 days 1451.0
TCGA-DD-AADV-01A 50 years, male, asian, stage:Stage I, alive, 574 days 1436.8
TCGA-2Y-A9GV-01A 54 years, female, white, stage:Stage I, dead, 2532 days 1435.3
TCGA-RC-A6M4-01A 74 years, female, white, stage:Stage IIIA, alive, 22 days 1430.9
TCGA-WJ-A86L-01A 68 years, female, white, stage:Stage I, alive, 345 days 1422.9
TCGA-DD-AAEA-01A 65 years, male, asian, stage:Stage I, alive, 575 days 1415.1
TCGA-G3-A3CK-01A 61 years, male, asian, stage:Stage I, alive, 585 days 1388.8
TCGA-DD-AAVQ-01A 38 years, male, asian, stage:Stage I, alive, 2728 days 1344.2
TCGA-G3-A5SM-01A 58 years, male, white, stage:Stage II, alive, 520 days 1343.7
TCGA-CC-A7IL-01A 61 years, male, asian, stage:Stage IIIA, dead, 278 days 1318.7
TCGA-CC-5264-01A 71 years, male, asian, stage:Stage IIIA, dead, 102 days 1316.4
TCGA-DD-A119-01A 40 years, male, asian, stage:Stage IV, dead, 223 days 1311.0
TCGA-DD-AACQ-01A 50 years, male, asian, stage:Stage II, dead, 432 days 1309.0
TCGA-O8-A75V-01A 54 years, male, stage:Stage I, alive, 538 days 1307.8
TCGA-5R-AAAM-01A 65 years, female, white, stage:Stage II, dead, 46 days 1288.7
TCGA-RC-A7S9-01A 47 years, female, asian, stage:Stage I, alive, 640 days 1287.1
TCGA-RC-A7SH-01A 42 years, male, asian, stage:Stage II, alive, 468 days 1264.7
TCGA-G3-A25V-01A 68 years, male, white, stage:Stage I, alive, 860 days 1262.8
TCGA-EP-A3RK-01A 73 years, male, white, stage:Stage IIIA, alive, 363 days 1254.7
TCGA-DD-A3A3-01A 45 years, male, asian, stage:Stage I, dead, 535 days 1249.1
TCGA-DD-AAC9-01A 51 years, male, asian, stage:Stage I, alive, 347 days 1238.4
TCGA-DD-AACN-01A 32 years, male, asian, stage:Stage I, alive, 1302 days 1208.0
TCGA-CC-A3MB-01A 36 years, male, asian, stage:Stage IIIA, dead, 315 days 1206.2
TCGA-LG-A9QD-01A 68 years, male, white, stage:Stage IIIA, alive, 366 days 1203.4
TCGA-DD-A115-01A 53 years, male, white, stage:Stage IIIA, dead, 2542 days 1187.1
TCGA-CC-A8HV-01A 51 years, female, asian, stage:Stage II, dead, 279 days 1160.4
TCGA-QA-A7B7-01A 48 years, male, black or african american, stage:Stage II, alive, 94 days 1144.7
TCGA-ZS-A9CD-01A 73 years, male, white, stage:Stage II, dead, 1386 days 1087.4
TCGA-BC-A8YO-01A 66 years, female, white, stage:Stage IIIC, alive, 562 days 1078.1
TCGA-G3-A7M9-01A 70 years, male, white, stage:Stage IIIB, dead, 56 days 1069.8
TCGA-DD-A4NJ-01A 54 years, female, white, stage:Stage II, alive, 928 days 1061.0
TCGA-G3-A5SL-01A 70 years, male, white, stage:Stage II, alive, 621 days 1054.0
TCGA-EP-A2KC-01A 62 years, male, black or african american, stage:Stage I, dead, 19 days 1040.0
TCGA-ES-A2HT-01A 54 years, male, black or african american, stage:Stage I, dead, 438 days 1030.9
TCGA-KR-A7K7-01A 61 years, female, white, stage:Stage II, alive, 951 days 1028.2
TCGA-BD-A3ER-01A 62 years, male, white, stage:Stage II, alive, 1115 days 1026.0
TCGA-RC-A7SB-01A 53 years, male, asian, stage:Stage II, alive, 588 days 1019.1
TCGA-ZS-A9CE-01A 79 years, female, white, stage:Stage II, alive, 1241 days 1018.7
TCGA-FV-A2QR-01A 75 years, male, white, stage:Stage I, dead, 581 days 1018.2
TCGA-RC-A6M6-01A 75 years, male, white, stage:Stage II, alive, 9 days 994.2
TCGA-BD-A3EP-01A 75 years, female, black or african american, stage:Stage I, alive, 409 days 971.7
TCGA-DD-AACE-01A 62 years, male, asian, stage:Stage I, alive, 2184 days 962.1
TCGA-DD-A73D-01A 68 years, female, white, stage:Stage II, alive, 693 days 960.0
TCGA-ZP-A9CV-01A 59 years, male, white, stage:'--, dead, 1088 days 956.5
TCGA-5C-A9VH-01A 70 years, male, white, stage:Stage I, alive, 322 days 949.6
TCGA-DD-AAVX-01A 38 years, male, asian, stage:Stage II, alive, 1718 days 948.2
TCGA-DD-AADF-01A 64 years, female, asian, stage:Stage I, dead, 115 days 942.8
TCGA-NI-A4U2-01A 71 years, male, white, stage:Stage IIIA, dead, 1791 days 919.8
TCGA-XR-A8TD-01A 49 years, female, white, stage:Stage IIIB, alive, 1030 days 899.9
TCGA-DD-AADK-01A 68 years, female, asian, stage:Stage II, alive, 1049 days 899.8
TCGA-DD-AACJ-01A 75 years, male, asian, stage:Stage II, alive, 2102 days 894.3
TCGA-CC-A8HT-01A 74 years, male, asian, stage:Stage IIIA, dead, 140 days 891.9
TCGA-DD-AAC8-01A 72 years, male, asian, stage:Stage I, dead, 16 days 885.8
TCGA-DD-A4NH-01A 65 years, female, white, stage:Stage IIIB, alive, 917 days 880.1
TCGA-CC-A3MC-01A 54 years, male, asian, stage:Stage IIIA, alive, 363 days 874.1
TCGA-HP-A5MZ-01A 78 years, male, stage:Stage I, dead, 91 days 867.0
TCGA-ED-A459-01A 47 years, male, asian, stage:Stage II, alive, 910 days 836.6
TCGA-BC-A216-01A 62 years, female, white, stage:Stage IIIA, alive, 1351 days 833.5
TCGA-BD-A2L6-01A 69 years, male, white, stage:'--, alive, 1363 days 806.9
TCGA-NI-A8LF-01A 74 years, male, white, stage:Stage I, alive, 799 days 795.0
TCGA-5C-AAPD-01A 61 years, male, asian, stage:Stage II, alive, 20 days 787.6
TCGA-PD-A5DF-01A 58 years, female, white, stage:Stage IIIB, dead, 639 days 786.1
TCGA-DD-AACY-01A 61 years, male, asian, stage:Stage I, alive, 1450 days 783.9
TCGA-CC-A7IF-01A 59 years, male, asian, stage:Stage IIIA, dead, 649 days 781.5
TCGA-CC-5259-01A 60 years, female, asian, stage:Stage IIIC, alive, 250 days 775.5
TCGA-DD-AAE9-01A 69 years, male, asian, stage:Stage I, alive, 722 days 773.5
TCGA-DD-A4NG-01A 77 years, male, white, stage:Stage IIIA, dead, 802 days 759.2
TCGA-ZP-A9D1-01A 56 years, female, white, stage:'--, alive, 21 days 754.0
TCGA-G3-A3CJ-01A 52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days 740.3
TCGA-DD-A1EG-01A 76 years, male, white, stage:Stage I, dead, 1372 days 736.9
TCGA-DD-A1EK-01A 64 years, female, white, stage:Stage IVB, dead, 558 days 714.6
TCGA-WQ-AB4B-01A 62 years, male, white, stage:Stage II, alive, 395 days 703.7
TCGA-DD-A39X-01A 78 years, female, white, stage:Stage I, dead, 1694 days 683.4
TCGA-DD-AACT-01A 69 years, female, asian, stage:Stage I, alive, 1562 days 649.9
TCGA-DD-AADQ-01A 59 years, male, asian, stage:Stage II, alive, 436 days 636.8
TCGA-KR-A7K2-01A 64 years, male, white, stage:Stage I, alive, 829 days 627.2
TCGA-CC-5261-01A 44 years, male, asian, stage:Stage II, dead, 97 days 621.5
TCGA-G3-A25Y-01A 52 years, female, asian, stage:Stage I, dead, 452 days 610.9
TCGA-G3-A3CI-01A 71 years, male, white, stage:Stage I, alive, 180 days 595.1
TCGA-EP-A3JL-01A 76 years, male, white, stage:Stage I, alive, 303 days 538.9
TCGA-DD-AADI-01A 43 years, female, asian, stage:Stage I, alive, 1085 days 534.9
TCGA-2Y-A9GW-01A 64 years, male, white, stage:Stage I, dead, 1271 days 512.5
TCGA-ED-A97K-01A 54 years, male, asian, stage:Stage IIIA, alive, 6 days 512.2
TCGA-DD-AADM-01A 58 years, male, asian, stage:Stage II, dead, 12 days 504.0
TCGA-CC-A8HS-01A 18 years, male, asian, stage:Stage IIIC, dead, 300 days 491.6
TCGA-G3-A7M6-01A 60 years, female, white, stage:Stage I, alive, 632 days 463.7
TCGA-DD-AADW-01A 48 years, male, asian, stage:Stage I, alive, 587 days 449.0
TCGA-2Y-A9H1-01A 58 years, male, white, stage:Stage I, dead, 1229 days 402.8
TCGA-BC-A3KG-01A 68 years, female, white, stage:Stage II, alive, 680 days 382.8
TCGA-LG-A9QC-01A 48 years, male, white, stage:Stage I, alive, 425 days 373.5
TCGA-DD-AACD-01A 48 years, male, asian, stage:Stage I, dead, 381 days 369.8
TCGA-DD-A113-01A 55 years, female, white, stage:Stage II, alive, 2425 days 343.6
TCGA-CC-A7IG-01A 47 years, male, asian, stage:Stage II, dead, 299 days 343.5
TCGA-DD-AAEG-01A 59 years, female, asian, stage:Stage I, alive, 719 days 308.3
TCGA-G3-A7M7-01A 65 years, male, white, stage:Stage I, alive, 361 days 306.0
TCGA-K7-AAU7-01A 61 years, male, white, stage:Stage II, alive, 359 days 285.6
TCGA-2Y-A9H2-01A 64 years, female, white, stage:Stage I, alive, 1731 days 280.6
TCGA-DD-A114-01A 42 years, male, black or african american, stage:Stage II, dead, 1149 days 266.8
TCGA-G3-A5SJ-01A 59 years, male, white, stage:Stage I, alive, 698 days 264.3
TCGA-GJ-A3OU-01A 59 years, male, white, stage:Stage I, alive, 879 days 253.8
TCGA-ZP-A9D2-01A 51 years, male, white, stage:'--, dead, 765 days 249.8
TCGA-WQ-A9G7-01A 71 years, female, white, stage:'--, alive, 30 days 228.3
TCGA-CC-A3MA-01A 61 years, male, asian, stage:Stage IIIA, dead, 303 days 209.9
TCGA-DD-AAVV-01A 56 years, male, asian, stage:Stage II, alive, 2455 days 193.2
TCGA-DD-AAE0-01A 45 years, female, asian, stage:Stage IIIA, alive, 555 days 192.7
TCGA-DD-A3A7-01A 67 years, male, stage:Stage IIIB, dead, 419 days 191.6
TCGA-RC-A6M5-01A 20 years, female, white, stage:Stage IVA, alive, 15 days 179.2
TCGA-DD-A1EE-01A 73 years, male, white, stage:Stage IIIA, dead, 349 days 177.1
TCGA-G3-A25T-01A 45 years, female, white, stage:Stage IIIA, alive, 1553 days 169.2
TCGA-DD-A4NQ-01A 60 years, male, white, stage:Stage II, dead, 373 days 165.2
TCGA-BC-A10R-01A 66 years, female, white, stage:'--, dead, 308 days 151.6
TCGA-5R-AA1D-01A 17 years, female, white, stage:Stage IIIA, alive, 449 days 136.8
TCGA-DD-A4NB-01A 25 years, male, white, stage:Stage I, alive, 989 days 123.3
TCGA-CC-A5UD-01A 45 years, male, asian, stage:Stage IIIA, dead, 304 days 108.1
TCGA-FV-A4ZP-01A 78 years, male, white, stage:Stage IIIA, dead, 2486 days 97.4
TCGA-CC-5263-01A 35 years, male, asian, stage:Stage IIIA, dead, 129 days 96.5
TCGA-YA-A8S7-01A 68 years, male, white, stage:Stage IIIA, dead, 412 days 84.4
TCGA-CC-A9FS-01A 55 years, male, asian, stage:Stage II, alive, 211 days 66.8
TCGA-ED-A7PX-01A 48 years, female, asian, stage:Stage II, alive, 6 days 57.7
TCGA-G3-AAV7-01A 38 years, male, asian, stage:Stage II, alive, 361 days 47.8
TCGA-EP-A2KA-01A 52 years, female, white, stage:Stage IIIA, dead, 627 days 45.5
TCGA-DD-A118-01A 77 years, female, white, stage:Stage II, alive, 3437 days 26.8
TCGA-BC-A10W-01A 50 years, male, asian, stage:'--, dead, 91 days 20.5
TCGA-DD-AACH-01A 69 years, male, asian, stage:Stage II, dead, 195 days 16.9
TCGA-DD-AA3A-01A 81 years, female, white, stage:Stage I, dead, 410 days 15.5
TCGA-DD-AACI-01A 69 years, male, asian, stage:Stage II, alive, 1618 days 11.4
TCGA-G3-A25X-01A 73 years, male, asian, stage:Stage II, alive, 1779 days 8.8
TCGA-DD-AAD5-01A 54 years, male, asian, stage:Stage I, alive, 1345 days 7.2
TCGA-CC-5260-01A 61 years, female, asian, stage:Stage IIIC, dead, 87 days 6.2
TCGA-CC-A7II-01A 54 years, male, asian, stage:Stage IIIA, alive, 399 days 6.2
TCGA-UB-A7MA-01A 62 years, female, white, stage:Stage II, alive, 848 days 5.5
TCGA-BC-A10Q-01A 72 years, female, white, stage:'--, dead, 1135 days 5.3
TCGA-MR-A8JO-01A 34 years, male, white, stage:Stage I, alive, 330 days 4.3
TCGA-CC-A7IJ-01A 56 years, male, asian, stage:Stage II, alive, 382 days 3.9
TCGA-CC-A1HT-01A 50 years, male, asian, stage:Stage IIIA, dead, 101 days 3.5
TCGA-BC-A112-01A 80 years, male, white, stage:'--, dead, 153 days 2.7
TCGA-DD-A3A6-01A 72 years, female, white, stage:Stage II, dead, 3258 days 2.6
TCGA-FV-A3I0-01A 76 years, female, white, stage:Stage II, alive, 848 days 2.4
TCGA-ED-A82E-01A 60 years, female, asian, stage:Stage IIIA, alive, 408 days 1.7
TCGA-DD-A4NA-01A 67 years, female, white, stage:Stage IIIC, alive, 1008 days 1.6
TCGA-WX-AA47-01A 33 years, female, white, stage:Stage IIIA, dead, 556 days 1.0
TCGA-CC-A3M9-01A 45 years, male, asian, stage:Stage IIIA, dead, 300 days 0.5
TCGA-DD-A1EC-01A 20 years, female, white, stage:Stage I, alive, 602 days 0.2
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LIVER HEPATOCELLULAR CARCINOMA (VALIDATION) - Interactive survival scatter ploti

The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.

The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".

Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.

Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.

& Survival analysisi

Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.

AHSG is not prognostic in Liver Hepatocellular Carcinoma (validation)


Stage:
Survival analysis
Current cut offi

Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.

:
Best expression cut offi

Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .

When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.

: 5370.84
Median expressioni

Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.

: N/A
Median follow up timei

Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.

: N/A
P scorei

Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.

N/A
5-year survival highi

5-year survival for patients with higher expression than the expression cutoff.

For melanoma and glioma, 3-year survival is shown.

N/A
5-year survival lowi

5-year survival for patients with lower expression than the expression cutoff.

For melanoma and glioma, 3-year survival is shown.

N/A
TCGA RNA samplesi

RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .

Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.

Average pTPM 3581.4
Number of samples 231
Samples
Sample Description pTPM
DO48719 80 years, male, NA, stage:2, alive, 690 days 22648.0
DO48681 57 years, male, NA, stage:2, alive, 900 days 21777.6
DO50820 77 years, female, NA, stage:3, alive, 510 days 14409.0
DO48715 58 years, female, NA, stage:2, dead, 690 days 14145.8
DO45183 72 years, female, NA, stage:2, dead, 570 days 12011.4
DO50789 73 years, female, NA, stage:2, alive, 570 days 11486.5
DO48712 50 years, male, NA, stage:2, alive, 810 days 11197.4
DO45179 78 years, female, NA, stage:2, alive, 600 days 11170.6
DO23529 72 years, male, NA, stage:4, alive, 930 days 10166.7
DO45093 71 years, male, NA, stage:2, dead, 720 days 9941.0
DO45209 70 years, male, NA, stage:4, alive, 1350 days 9412.3
DO23511 83 years, female, NA, stage:3, dead, 180 days 9287.5
DO45217 69 years, female, NA, stage:3, dead, 270 days 8960.7
DO45191 61 years, female, NA, stage:2, alive, 1200 days 8960.6
DO45239 42 years, male, NA, stage:2, alive, 870 days 8826.9
DO45255 81 years, male, NA, stage:3, alive, 720 days 8734.7
DO45219 78 years, male, NA, stage:2, alive, 1080 days 8634.1
DO23537 79 years, male, NA, stage:2, dead, 900 days 8614.5
DO45265 73 years, male, NA, stage:3, alive, 1020 days 8324.2
DO45127 73 years, male, NA, stage:3, dead, 420 days 8186.7
DO45227 57 years, female, NA, stage:2, alive, 1020 days 8051.5
DO48743 69 years, female, NA, stage:2, alive, 570 days 7970.7
DO45119 74 years, male, NA, stage:3, dead, 510 days 7864.9
DO48706 72 years, male, NA, stage:2, alive, 870 days 7841.6
DO45129 61 years, male, NA, stage:3, alive, 1470 days 7543.5
DO45187 32 years, female, NA, stage:1, alive, 1260 days 7523.1
DO50806 70 years, male, NA, stage:4, alive, 540 days 7495.8
DO45115 81 years, male, NA, stage:2, alive, 840 days 7448.8
DO23536 56 years, male, NA, stage:2, alive, 930 days 7268.1
DO45096 69 years, male, NA, stage:2, dead, 1290 days 6990.2
DO48757 68 years, female, NA, stage:3, alive, 480 days 6861.7
DO45137 38 years, male, NA, stage:1, alive, 1320 days 6826.3
DO48730 73 years, female, NA, stage:2, alive, 630 days 6517.1
DO23550 69 years, male, NA, stage:1, alive, 990 days 6479.9
DO50807 67 years, male, NA, stage:1, alive, 540 days 6455.4
DO48760 70 years, female, NA, stage:2, alive, 690 days 6322.7
DO48759 73 years, male, NA, stage:3, alive, 720 days 6245.0
DO48723 73 years, male, NA, stage:1, alive, 600 days 6236.4
DO23508 79 years, female, NA, stage:2, alive, 390 days 6219.2
DO23545 67 years, male, NA, stage:2, dead, 570 days 6204.1
DO23515 71 years, male, NA, stage:2, alive, 1230 days 6065.5
DO48721 58 years, female, NA, stage:1, alive, 900 days 6050.6
DO45237 58 years, male, NA, stage:2, alive, 900 days 6009.1
DO48751 68 years, male, NA, stage:2, dead, 480 days 5937.5
DO50808 68 years, male, NA, stage:2, alive, 570 days 5924.0
DO50855 47 years, male, NA, stage:2, alive, 570 days 5905.5
DO48742 76 years, male, NA, stage:2, alive, 600 days 5870.8
DO45173 63 years, male, NA, stage:3, alive, 1170 days 5826.4
DO48697 64 years, female, NA, stage:2, dead, 810 days 5713.9
DO45221 75 years, female, NA, stage:4, dead, 390 days 5448.0
DO23517 62 years, male, NA, stage:2, alive, 1200 days 5414.9
DO45133 64 years, male, NA, stage:3, dead, 660 days 5396.8
DO48727 81 years, female, NA, stage:2, dead, 390 days 5385.1
DO45207 68 years, male, NA, stage:1, alive, 1050 days 5356.6
DO50799 66 years, female, NA, stage:2, alive, 540 days 5302.1
DO45113 58 years, male, NA, stage:3, alive, 1560 days 5257.8
DO45199 86 years, female, NA, stage:2, alive, 1350 days 5225.7
DO45149 70 years, female, NA, stage:2, alive, 1260 days 5026.0
DO23538 67 years, male, NA, stage:2, alive, 450 days 4967.1
DO45281 83 years, male, NA, stage:4, alive, 750 days 4927.0
DO45181 84 years, female, NA, stage:2, alive, 1200 days 4918.2
DO45163 76 years, male, NA, stage:2, alive, 960 days 4878.7
DO23531 78 years, female, NA, stage:3, alive, 900 days 4826.1
DO50832 73 years, male, NA, stage:3, alive, 90 days 4810.9
DO45197 51 years, male, NA, stage:2, alive, 1170 days 4798.9
DO23528 45 years, female, NA, stage:2, alive, 1020 days 4796.7
DO45223 67 years, male, NA, stage:4, alive, 1020 days 4759.9
DO45123 78 years, female, NA, stage:2, dead, 570 days 4673.7
DO45175 74 years, male, NA, stage:2, alive, 1140 days 4639.6
DO48725 66 years, male, NA, stage:1, alive, 780 days 4638.8
DO50783 62 years, male, NA, stage:3, alive, 480 days 4626.8
DO50787 63 years, male, NA, stage:3, alive, 480 days 4598.1
DO45193 68 years, female, NA, stage:4, dead, 120 days 4580.0
DO45203 71 years, female, NA, stage:2, alive, 1170 days 4570.4
DO48761 55 years, male, NA, stage:2, alive, 870 days 4452.3
DO23552 80 years, female, NA, stage:1, alive, 810 days 4418.8
DO45215 65 years, male, NA, stage:2, alive, 1170 days 4314.3
DO50793 76 years, male, NA, stage:4, alive, 540 days 4287.7
DO45195 62 years, male, NA, stage:1, alive, 390 days 4285.8
DO48674 80 years, male, NA, stage:2, alive, 1260 days 4255.3
DO45092 62 years, male, NA, stage:4, dead, 1200 days 4199.8
DO45091 56 years, male, NA, stage:2, dead, 1320 days 4199.8
DO50804 81 years, male, NA, stage:2, alive, 720 days 4127.3
DO23527 72 years, male, NA, stage:1, alive, 1050 days 4065.1
DO50802 49 years, male, NA, stage:2, alive, 930 days 3960.9
DO45165 75 years, male, NA, stage:2, alive, 690 days 3955.6
DO45261 74 years, male, NA, stage:3, alive, 990 days 3950.0
DO23524 71 years, female, NA, stage:2, alive, 1050 days 3758.7
DO23514 64 years, male, NA, stage:2, alive, 1290 days 3702.5
DO45135 77 years, male, NA, stage:1, alive, 1410 days 3672.2
DO48677 58 years, male, NA, stage:3, alive, 1140 days 3656.4
DO48695 77 years, male, NA, stage:2, alive, 720 days 3587.9
DO45131 53 years, male, NA, stage:4, dead, 360 days 3567.2
DO50839 47 years, female, NA, stage:3, alive, 330 days 3531.7
DO45247 31 years, female, NA, stage:2, alive, 210 days 3524.1
DO23534 60 years, male, NA, stage:2, alive, 840 days 3480.1
DO45111 74 years, male, NA, stage:2, alive, 1590 days 3469.3
DO50815 62 years, male, NA, stage:3, alive, 150 days 3453.9
DO50859 77 years, male, NA, stage:2, alive, 180 days 3437.3
DO45109 63 years, male, NA, stage:2, alive, 1590 days 3390.6
DO45121 61 years, male, NA, stage:3, alive, 1530 days 3389.3
DO45105 61 years, male, NA, stage:1, alive, 1680 days 3366.4
DO45117 73 years, female, NA, stage:2, dead, 1110 days 3198.1
DO50857 72 years, male, NA, stage:2, alive, 210 days 3180.4
DO23509 60 years, male, NA, stage:3, dead, 780 days 3132.6
DO45099 46 years, male, NA, stage:3, alive, 1590 days 3111.0
DO50776 75 years, male, NA, stage:1, alive, 690 days 3104.1
DO45201 49 years, male, NA, stage:1, alive, 900 days 3099.8
DO48736 76 years, female, NA, stage:1, alive, 600 days 3073.0
DO45107 63 years, female, NA, stage:2, alive, 1710 days 3025.9
DO50818 65 years, male, NA, stage:2, alive, 510 days 3011.6
DO50825 70 years, male, NA, stage:2, alive, 390 days 2987.6
DO45177 81 years, female, NA, stage:3, alive, 1260 days 2982.0
DO45233 83 years, male, NA, stage:3, alive, 900 days 2963.9
DO50840 49 years, male, NA, stage:2, alive, 330 days 2903.4
DO50785 37 years, male, NA, stage:4, dead, 90 days 2859.4
DO45167 67 years, male, NA, stage:2, dead, 1440 days 2817.1
DO50813 56 years, male, NA, stage:2, alive, 420 days 2799.8
DO45213 58 years, male, NA, stage:1, alive, 1200 days 2674.3
DO45231 84 years, male, NA, stage:2, alive, 930 days 2638.2
DO48746 76 years, male, NA, stage:3, alive, 570 days 2631.0
DO45229 74 years, male, NA, stage:1, alive, 990 days 2586.4
DO50822 66 years, male, NA, stage:2, alive, 510 days 2489.8
DO48728 74 years, female, NA, stage:2, alive, 150 days 2487.7
DO45094 76 years, male, NA, stage:3, alive, 1650 days 2450.2
DO50850 74 years, male, NA, stage:3, alive, 720 days 2448.7
DO45225 69 years, male, NA, stage:1, alive, 1050 days 2421.9
DO23544 67 years, male, NA, stage:2, alive, 960 days 2421.5
DO23551 73 years, male, NA, stage:3, dead, 150 days 2410.9
DO50774 68 years, female, NA, stage:2, alive, 720 days 2401.0
DO45161 74 years, male, NA, stage:2, dead, 540 days 2380.6
DO50845 72 years, male, NA, stage:3, alive, 210 days 2377.8
DO50809 56 years, male, NA, stage:3, dead, 720 days 2368.3
DO50844 75 years, male, NA, stage:4, alive, 300 days 2273.9
DO45169 74 years, male, NA, stage:3, alive, 1350 days 2245.3
DO45235 68 years, female, NA, stage:1, alive, 900 days 2244.4
DO23516 69 years, male, NA, stage:3, dead, 20 days 2202.5
DO48693 71 years, male, NA, stage:2, alive, 900 days 2165.9
DO23535 67 years, male, NA, stage:1, alive, 960 days 2138.8
DO48672 81 years, male, NA, stage:2, alive, 450 days 2092.0
DO45101 63 years, male, NA, stage:2, alive, 1680 days 2081.7
DO23513 76 years, male, NA, stage:3, alive, 1200 days 2066.0
DO23548 78 years, female, NA, stage:1, alive, 840 days 1952.9
DO23540 73 years, male, NA, stage:1, alive, 750 days 1933.6
DO48720 62 years, female, NA, stage:2, alive, 570 days 1845.6
DO23521 63 years, male, NA, stage:3, alive, 1110 days 1826.1
DO23533 61 years, male, NA, stage:2, alive, 900 days 1795.1
DO45153 77 years, female, NA, stage:2, alive, 1380 days 1793.3
DO50814 83 years, male, NA, stage:3, alive, 420 days 1751.0
DO50803 62 years, female, NA, stage:1, alive, 540 days 1742.9
DO23549 74 years, male, NA, stage:3, alive, 990 days 1739.0
DO45143 69 years, male, NA, stage:3, alive, 1290 days 1736.8
DO50816 63 years, male, NA, stage:2, alive, 390 days 1660.7
DO48679 72 years, male, NA, stage:2, alive, 1200 days 1594.8
DO23539 77 years, male, NA, stage:1, alive, 1110 days 1575.0
DO23512 60 years, male, NA, stage:1, alive, 1260 days 1563.6
DO50817 75 years, male, NA, stage:2, alive, 390 days 1553.6
DO48701 78 years, male, NA, stage:2, alive, 780 days 1467.3
DO45267 73 years, male, NA, stage:3, dead, 570 days 1464.7
DO45097 69 years, male, NA, stage:3, alive, 1620 days 1449.6
DO227643 79 years, male, NA, stage:2, alive, 1260 days 1423.3
DO227801 77 years, female, NA, stage:1, alive, 660 days 1402.2
DO45241 49 years, male, NA, stage:1, alive, 1080 days 1398.7
DO45243 74 years, female, NA, stage:3, alive, 930 days 1390.6
DO23542 66 years, male, NA, stage:3, alive, 960 days 1383.1
DO48741 64 years, male, NA, stage:3, alive, 240 days 1321.6
DO50819 72 years, female, NA, stage:2, alive, 510 days 1293.0
DO48737 52 years, male, NA, stage:1, alive, 720 days 1218.4
DO23510 80 years, female, NA, stage:2, alive, 870 days 1172.5
DO23541 65 years, male, NA, stage:2, alive, 930 days 1136.1
DO23525 71 years, male, NA, stage:4, alive, 1050 days 1111.5
DO45171 56 years, male, NA, stage:3, alive, 600 days 1099.4
DO48700 78 years, female, NA, stage:2, alive, 810 days 1066.1
DO45269 59 years, male, NA, stage:3, alive, 750 days 1042.4
DO50800 74 years, male, NA, stage:2, alive, 510 days 1041.4
DO50805 72 years, male, NA, stage:2, alive, 690 days 970.6
DO23543 63 years, male, NA, stage:2, alive, 1020 days 961.3
DO45157 62 years, male, NA, stage:2, alive, 1980 days 951.0
DO23546 63 years, male, NA, stage:2, alive, 1050 days 945.3
DO48733 72 years, male, NA, stage:2, alive, 600 days 926.5
DO45253 50 years, male, NA, stage:2, alive, 870 days 914.2
DO45125 58 years, male, NA, stage:3, alive, 1680 days 903.9
DO45263 67 years, male, NA, stage:3, dead, 270 days 895.7
DO50791 79 years, female, NA, stage:1, dead, 480 days 891.9
DO50811 62 years, male, NA, stage:1, alive, 450 days 868.2
DO48704 68 years, female, NA, stage:3, alive, 750 days 838.9
DO45095 66 years, male, NA, stage:2, alive, 1620 days 827.1
DO45141 73 years, male, NA, stage:2, alive, 1320 days 783.1
DO23532 71 years, female, NA, stage:1, alive, 960 days 782.8
DO23526 66 years, male, NA, stage:3, alive, 1050 days 757.7
DO45103 47 years, male, NA, stage:3, alive, 450 days 700.2
DO23530 53 years, male, NA, stage:4, dead, 180 days 685.7
DO45159 65 years, male, NA, stage:3, alive, 1470 days 581.8
DO45189 85 years, female, NA, stage:2, alive, 1200 days 543.2
DO48682 72 years, female, NA, stage:3, dead, 120 days 501.6
DO50798 77 years, male, NA, stage:3, dead, 30 days 477.6
DO48716 71 years, male, NA, stage:2, alive, 720 days 456.6
DO23518 67 years, male, NA, stage:2, alive, 1320 days 454.3
DO45251 57 years, female, NA, stage:2, alive, 900 days 429.1
DO45249 57 years, male, NA, stage:1, alive, 630 days 415.1
DO48732 73 years, male, NA, stage:3, alive, 630 days 360.9
DO45257 46 years, male, NA, stage:3, alive, 810 days 359.5
DO50778 60 years, male, NA, stage:4, alive, 630 days 307.4
DO45139 63 years, male, NA, stage:3, alive, 1320 days 287.2
DO50829 78 years, male, NA, stage:3, alive, 570 days 259.3
DO45185 89 years, male, NA, stage:2, alive, 600 days 236.1
DO45155 69 years, male, NA, stage:2, alive, 2160 days 204.1
DO23547 74 years, male, NA, stage:1, alive, 1020 days 196.2
DO45301 56 years, male, NA, stage:2, dead, 1440 days 173.6
DO45273 62 years, male, NA, stage:2, alive, 480 days 150.8
DO48747 62 years, male, NA, stage:3, alive, 540 days 127.7
DO48717 54 years, male, NA, stage:4, dead, 180 days 125.8
DO45259 65 years, male, NA, stage:3, alive, 330 days 63.1
DO45287 74 years, male, NA, stage:1, alive, 390 days 60.2
DO45205 67 years, female, NA, stage:2, dead, 90 days 56.2
DO45305 66 years, male, NA, stage:4, alive, 300 days 46.6
DO45283 60 years, male, NA, stage:3, alive, 510 days 24.5
DO45145 78 years, male, NA, stage:3, dead, 60 days 17.8
DO45279 67 years, male, NA, stage:3, alive, 1290 days 12.6
DO45245 75 years, female, NA, stage:2, dead, 240 days 11.0
DO45277 64 years, male, NA, stage:3, alive, 600 days 7.7
DO23523 52 years, male, NA, stage:3, alive, 1080 days 4.8
DO45297 61 years, female, NA, stage:4, dead, 1260 days 4.2
DO23519 65 years, male, NA, stage:3, alive, 630 days 4.1
DO45299 70 years, female, NA, stage:1, alive, 1440 days 2.8
DO45285 59 years, male, NA, stage:3, alive, 480 days 2.0
DO45303 62 years, female, NA, stage:3, alive, 990 days 1.9
DO45289 78 years, female, NA, stage:3, alive, 360 days 1.8
DO45211 76 years, male, NA, stage:3, alive, 240 days 1.8
DO45307 54 years, female, NA, stage:4, dead, 240 days 1.7
DO45275 65 years, male, NA, stage:3, dead, 10 days 1.1
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LIVER HEPATOCELLULAR CARCINOMA - Protein relative expression (CPTAC)
Number of samples 330
Samples
Sample ID Sample type nRPX
877 Tumor 2.5
363 Tumor 1.7
367 Tumor 1.3
743 Tumor 1.2
983 Tumor 1.2
815 Tumor 1.2
921 Tumor 1.1
343 Tumor 1.1
671 Tumor 1.1
192 Normal 1.0
817 Tumor 0.9
283 Tumor 0.9
425 Tumor 0.8
517 Tumor 0.8
785 Tumor 0.8
391 Tumor 0.8
967 Tumor 0.8
1041 Tumor 0.7
851 Tumor 0.7
665 Tumor 0.7
331 Tumor 0.7
535 Tumor 0.6
285 Tumor 0.6
217 Tumor 0.6
387 Tumor 0.6
813 Tumor 0.6
713 Tumor 0.6
471 Tumor 0.5
715 Tumor 0.5
975 Tumor 0.5
863 Tumor 0.5
545 Tumor 0.5
444 Normal 0.5
368 Normal 0.5
697 Tumor 0.4
112 Tumor 0.4
223 Tumor 0.4
737 Tumor 0.4
355 Tumor 0.4
1045 Tumor 0.4
553 Tumor 0.4
135 Tumor 0.4
375 Tumor 0.4
261 Tumor 0.4
455 Tumor 0.4
125 Tumor 0.4
695 Tumor 0.4
131 Tumor 0.4
365 Tumor 0.4
744 Normal 0.3
137 Tumor 0.3
227 Tumor 0.3
224 Normal 0.3
878 Normal 0.3
186 Normal 0.3
956 Normal 0.3
746 Normal 0.3
185 Tumor 0.3
741 Tumor 0.2
516 Normal 0.2
188 Normal 0.2
982 Normal 0.2
963 Tumor 0.2
474 Normal 0.2
384 Normal 0.2
951 Tumor 0.2
126 Normal 0.2
515 Tumor 0.2
777 Tumor 0.2
351 Tumor 0.2
191 Tumor 0.2
538 Normal 0.2
383 Tumor 0.2
221 Tumor 0.2
816 Normal 0.2
965 Tumor 0.2
523 Tumor 0.2
491 Tumor 0.2
685 Tumor 0.2
938 Normal 0.2
778 Normal 0.2
138 Normal 0.2
563 Tumor 0.1
421 Tumor 0.1
857 Tumor 0.1
124 Normal 0.1
311 Tumor 0.1
472 Normal 0.1
271 Tumor 0.1
666 Normal 0.1
615 Tumor 0.1
546 Normal 0.1
881 Tumor 0.1
924 Normal 0.1
1028 Normal 0.1
313 Tumor 0.1
915 Tumor 0.1
218 Normal 0.1
958 Normal 0.1
213 Tumor 0.1
327 Tumor 0.1
883 Tumor 0.1
874 Normal 0.1
1027 Tumor 0.1
195 Tumor 0.1
672 Normal 0.1
146 Normal 0.1
1042 Normal 0.1
463 Tumor 0.1
618 Normal 0.1
461 Tumor 0.1
852 Normal 0.1
113 Tumor 0.1
328 Normal 0.1
1031 Tumor 0.0
536 Normal 0.0
386 Normal 0.0
196 Normal 0.0
465 Tumor 0.0
824 Normal 0.0
366 Normal 0.0
823 Tumor 0.0
416 Normal 0.0
884 Normal 0.0
513 Tumor 0.0
966 Normal 0.0
917 Tumor 0.0
647 Tumor 0.0
464 Normal 0.0
136 Normal 0.0
187 Tumor 0.0
574 Normal 0.0
663 Tumor 0.0
142 Normal 0.0
1021 Tumor 0.0
696 Normal 0.0
641 Tumor 0.0
727 Tumor 0.0
312 Normal 0.0
257 Tumor 0.0
818 Normal 0.0
214 Normal 0.0
431 Tumor 0.0
114 Normal 0.0
981 Tumor 0.0
814 Normal 0.0
393 Tumor 0.0
957 Tumor 0.0
388 Normal 0.0
148 Normal 0.0
686 Normal 0.0
722 Normal 0.0
514 Normal 0.0
525 Tumor 0.0
968 Normal 0.0
415 Tumor 0.0
953 Tumor 0.0
882 Normal 0.0
483 Tumor 0.0
385 Tumor 0.0
1046 Normal -0.1
964 Normal -0.1
922 Normal -0.1
716 Normal -0.1
297 Tumor -0.1
745 Tumor -0.1
627 Tumor -0.1
1022 Normal -0.1
567 Tumor -0.1
452 Normal -0.1
132 Normal -0.1
858 Normal -0.1
111 Normal -0.1
1032 Normal -0.1
228 Normal -0.1
537 Tumor -0.1
332 Normal -0.1
395 Tumor -0.1
914 Normal -0.1
1044 Normal -0.1
424 Normal -0.1
412 Normal -0.1
411 Tumor -0.1
738 Normal -0.1
364 Normal -0.1
272 Normal -0.1
396 Normal -0.1
362 Normal -0.1
284 Normal -0.1
568 Normal -0.2
916 Normal -0.2
868 Normal -0.2
268 Normal -0.2
977 Tumor -0.2
648 Normal -0.2
573 Tumor -0.2
428 Normal -0.2
434 Normal -0.2
492 Normal -0.2
976 Normal -0.2
456 Normal -0.2
554 Normal -0.2
361 Tumor -0.2
728 Normal -0.2
984 Normal -0.2
534 Normal -0.2
954 Normal -0.2
698 Normal -0.2
952 Normal -0.2
911 Tumor -0.2
356 Normal -0.2
147 Tumor -0.2
526 Normal -0.2
447 Tumor -0.2
145 Tumor -0.2
498 Normal -0.2
518 Normal -0.2
314 Normal -0.2
341 Tumor -0.2
262 Normal -0.2
394 Normal -0.2
923 Tumor -0.2
342 Normal -0.2
944 Normal -0.2
128 Normal -0.2
162 Normal -0.2
277 Tumor -0.2
1025 Tumor -0.2
354 Normal -0.2
617 Tumor -0.2
141 Tumor -0.2
862 Normal -0.2
222 Normal -0.3
918 Normal -0.3
742 Normal -0.3
432 Normal -0.3
433 Tumor -0.3
468 Normal -0.3
422 Normal -0.3
662 Normal -0.3
755 Tumor -0.3
278 Normal -0.3
462 Normal -0.3
172 Normal -0.3
286 Normal -0.3
258 Normal -0.3
571 Tumor -0.3
1026 Normal -0.3
714 Normal -0.3
448 Normal -0.3
451 Tumor -0.3
1043 Tumor -0.3
392 Normal -0.3
212 Normal -0.3
1016 Normal -0.3
527 Tumor -0.3
664 Normal -0.3
376 Normal -0.3
756 Normal -0.3
943 Tumor -0.3
873 Tumor -0.3
466 Normal -0.3
786 Normal -0.3
572 Normal -0.3
866 Normal -0.3
864 Normal -0.3
211 Tumor -0.3
564 Normal -0.3
426 Normal -0.3
1014 Normal -0.3
723 Tumor -0.3
616 Normal -0.3
443 Tumor -0.4
232 Normal -0.4
484 Normal -0.4
955 Tumor -0.4
912 Normal -0.4
494 Normal -0.4
642 Normal -0.4
524 Normal -0.4
661 Tumor -0.4
123 Tumor -0.4
1015 Tumor -0.4
344 Normal -0.4
436 Normal -0.4
358 Normal -0.4
473 Tumor -0.4
497 Tumor -0.4
937 Tumor -0.4
861 Tumor -0.4
478 Normal -0.4
487 Tumor -0.4
867 Tumor -0.4
435 Tumor -0.4
926 Normal -0.4
467 Tumor -0.4
446 Normal -0.4
724 Normal -0.4
171 Tumor -0.4
353 Tumor -0.5
721 Tumor -0.5
477 Tumor -0.5
352 Normal -0.5
298 Normal -0.5
481 Tumor -0.5
423 Tumor -0.5
635 Tumor -0.5
978 Normal -0.5
445 Tumor -0.5
488 Normal -0.5
414 Normal -0.5
533 Tumor -0.5
558 Normal -0.5
413 Tumor -0.5
913 Tumor -0.5
493 Tumor -0.5
267 Tumor -0.5
161 Tumor -0.5
636 Normal -0.6
482 Normal -0.6
127 Tumor -0.6
628 Normal -0.6
357 Tumor -0.6
865 Tumor -0.7
557 Tumor -0.7
528 Normal -0.7
925 Tumor -0.7
1013 Tumor -0.7
231 Tumor -0.8
427 Tumor -0.8
Show allShow less
LIVER CANCER - Protein expressioni

A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.

Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.

 

Antibody stainingi

Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.

Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.


Antibody HPA001524

Antibody HPA001525

Antibody CAB026209
 Staining
  High
  Medium
  Low
  Not detected
 Intensity
  Strong
  Moderate
  Weak
  Negative
 Quantity
  >75%
  75%-25%
  <25%
  None
 Location
  Nuclear
  Cytoplasmic/membranous
  Cytoplasmic/membranous,nuclear
  None
Carcinoma, Hepatocellular, NOS
Cholangiocarcinoma

Contact

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